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# 

# Licensed to the Apache Software Foundation (ASF) under one or more 

# contributor license agreements. See the NOTICE file distributed with 

# this work for additional information regarding copyright ownership. 

# The ASF licenses this file to You under the Apache License, Version 2.0 

# (the "License"); you may not use this file except in compliance with 

# the License. You may obtain a copy of the License at 

# 

# http://www.apache.org/licenses/LICENSE-2.0 

# 

# Unless required by applicable law or agreed to in writing, software 

# distributed under the License is distributed on an "AS IS" BASIS, 

# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 

# See the License for the specific language governing permissions and 

# limitations under the License. 

# 

import random 

import unittest 

 

from pyspark import SparkContext, SparkConf 

 

 

class ConfTests(unittest.TestCase): 

def test_memory_conf(self): 

memoryList = ["1T", "1G", "1M", "1024K"] 

for memory in memoryList: 

sc = SparkContext(conf=SparkConf().set("spark.python.worker.memory", memory)) 

l = list(range(1024)) 

random.shuffle(l) 

rdd = sc.parallelize(l, 4) 

self.assertEqual(sorted(l), rdd.sortBy(lambda x: x).collect()) 

sc.stop() 

 

 

if __name__ == "__main__": 

from pyspark.tests.test_conf import * # noqa: F401 

 

try: 

import xmlrunner # type: ignore[import] 

testRunner = xmlrunner.XMLTestRunner(output='target/test-reports', verbosity=2) 

except ImportError: 

testRunner = None 

unittest.main(testRunner=testRunner, verbosity=2)